SOTAVerified

Denoising

Denoising is a task in image processing and computer vision that aims to remove or reduce noise from an image. Noise can be introduced into an image due to various reasons, such as camera sensor limitations, lighting conditions, and compression artifacts. The goal of denoising is to recover the original image, which is considered to be noise-free, from a noisy observation.

( Image credit: Beyond a Gaussian Denoiser )

Papers

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Showing 6051–6100 of 7282 papers

TitleStatusHype
Riemannian Denoising Diffusion Probabilistic Models—0
Riemannian Denoising Score Matching for Molecular Structure Optimization with Accurate Energy—0
Zero-Shot Video Editing through Adaptive Sliding Score Distillation—0
RingCNN: Exploiting Algebraically-Sparse Ring Tensors for Energy-Efficient CNN-Based Computational Imaging—0
RISAR: RIS-assisted Human Activity Recognition with Commercial Wi-Fi Devices—0
Risk Estimation Without Using Stein's Lemma -- Application to Image Denoising—0
Unsupervised Learning from Noisy Networks with Applications to Hi-C Data—0
RISSOLE: Parameter-efficient Diffusion Models via Block-wise Generation and Retrieval-Guidance—0
RLCP: A Reinforcement Learning-based Copyright Protection Method for Text-to-Image Diffusion Model—0
RL Dreams: Policy Gradient Optimization for Score Distillation based 3D Generation—0
Accelerating Video Diffusion Models via Distribution Matching—0
RobGC: Towards Robust Graph Condensation—0
RoBLEURT Submission for the WMT2021 Metrics Task—0
RoBLEURT Submission for WMT2021 Metrics Task—0
Robust ADAS: Enhancing Robustness of Machine Learning-based Advanced Driver Assistance Systems for Adverse Weather—0
Robust and Computationally-Efficient Anomaly Detection using Powers-of-Two Networks—0
Robust and On-the-fly Dataset Denoising for Image Classification—0
Robust Andrew's sine estimate adaptive filtering—0
Denoising Multi-Similarity Formulation: A Self-paced Curriculum-Driven Approach for Robust Metric Learning—0
Robust CNN Multi-Nested-LSTM Framework with Compound Loss for Patch-based Multi-Push Ultrasound Shear Wave Imaging and Segmentation—0
Robust Deep Learning Ensemble against Deception—0
RobuSTereo: Robust Zero-Shot Stereo Matching under Adverse Weather—0
Robust exponential binary pattern storage in Little-Hopfield networks—0
Robust Generalization Strategies for Morpheme Glossing in an Endangered Language Documentation Context—0
Robust Hyperspectral Image Fusion with Simultaneous Guide Image Denoising via Constrained Convex Optimization—0
Unsupervised Low-dose CT Reconstruction with One-way Conditional Normalizing Flows—0
Robust Image Filtering Using Joint Static and Dynamic Guidance—0
Accelerating Prostate Diffusion Weighted MRI using Guided Denoising Convolutional Neural Network: Retrospective Feasibility Study—0
Robust Knowledge Graph Embedding via Denoising—0
Robust Kronecker Component Analysis—0
Robust Learning with Adaptive Sample Credibility Modeling—0
Robust Low-Light Human Pose Estimation through Illumination-Texture Modulation—0
Robust Matrix Factorization with Grouping Effect—0
Robust Multimodal Fusion for Human Activity Recognition—0
Robustness Of Saak Transform Against Adversarial Attacks—0
Robust Non-Linear Matrix Factorization for Dictionary Learning, Denoising, and Clustering—0
Robust Non-linear Regression: A Greedy Approach Employing Kernels with Application to Image Denoising—0
Robust non-local means filter for ultrasound image denoising—0
Robust Online Classification: From Estimation to Denoising—0
Robust Piecewise-Constant Smoothing: M-Smoother Revisited—0
Robust plug-and-play methods for highly accelerated non-Cartesian MRI reconstruction—0
Unsupervised Microscopy Video Denoising—0
Robust Principal Component Analysis: A Median of Means Approach—0
Robust Product Classification with Instance-Dependent Noise—0
Robust Regression on Image Manifolds for Ordered Label Denoising—0
Robust Semi-Supervised Anomaly Detection via Adversarially Learned Continuous Noise Corruption—0
Robust semi-supervised segmentation with timestep ensembling diffusion models—0
Robust single-particle cryo-EM image denoising and restoration—0
Unsupervised Monocular Depth Estimation Based on Hierarchical Feature-Guided Diffusion—0
Robust Technique for Representative Volume Element Identification in Noisy Microtomography Images of Porous Materials Based on Pores Morphology and Their Spatial Distribution—0
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All datasetsDarmstadt Noise DatasetDIV2KDNDiris

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SINDyPSNR81—Unverified
2Pixel-shuffling DownsamplingPSNR38.4—Unverified
3TWSCPSNR37.93—Unverified
4CBDNet(Syn)PSNR37.57—Unverified
5MCWNNMPSNR37.38—Unverified
6Han et alPSNR35.95—Unverified
7FFDNetPSNR34.4—Unverified
8TNRDPSNR33.65—Unverified
9CDnCNN-BPSNR32.43—Unverified
10NLRNPSNR30.8—Unverified
#ModelMetricClaimedVerifiedStatus
1DRUnet_Poisson_0.01Average PSNR (dB)33.92—Unverified
#ModelMetricClaimedVerifiedStatus
1DRANetAverage PSNR39.64—Unverified
#ModelMetricClaimedVerifiedStatus
1PCNN+RL+HMEAverage84.61—Unverified